A. Artemenko

发表

Quantitative structure-activity relationship studies of [(biphenyloxy)propyl]isoxazole derivatives. Inhibitors of human rhinovirus 2 replication.

E. Muratov, V. Makarov, O. Riabova, 2007, Journal of medicinal chemistry.

Hierarchic system of QSAR models (1D–4D) on the base of simplex representation of molecular structure

Pavel G. Polischuk, E. Muratov, V. Kuz'min, 2005, Journal of molecular modeling.

QSPR Approach to Predict Nonadditive Properties of Mixtures. Application to Bubble Point Temperatures of Binary Mixtures of Liquids

G Marcou, A Varnek, E. Muratov, 2012, Molecular informatics.

QSAR analysis of the toxicity of nitroaromatics in Tetrahymena pyriformis: structural factors and possible modes of action

A Tropsha, A. Tropsha, J. Leszczynski, 2011, SAR and QSAR in environmental research.

New Advances in QSPR/QSAR Analysis of Nitrocompounds: Solubility, Lipophilicity, and Toxicity

L. N. Ognichenko, E. Muratov, J. Leszczynski, 2012 .

QSAR Analysis of Antimicrobial Activity of 4‐thiazolidone Derivatives

E. Muratov, V. Kuz'min, A. Artemenko, 2009 .

QSAR analysis of poliovirus inhibition by dual combinations of antivirals

E. Muratov, V. Kuz'min, A. Artemenko, 2010, Structural Chemistry.

QSPR Models for Predicting of the Melting Points and Refractive Indices for Inorganic Substances

V. Kuz'min, A. Artemenko, L. Ognichenko, 2020 .

“ Everything Out ” Validation Approach for Qsar Models of Chemical Mixtures

A. Tropsha, D. Fourches, E. Muratov, 2014 .

QSAR analysis of nitroaromatics' toxicity in Tetrahymena pyriformis : structural factors and possible modes of action

J. Leszczynski, A. Tropsha, V. Kuz'min, 2012 .

NONEXPERIMENTAL SCREENING OF THE WATER SOLUBILITY, LIPOPHILICITY, BIOAVAILABILITY, MUTAGENICITY AND TOXICITY OF VARIOUS PESTICIDES WITH QSAR MODELS AID

L. N. Ognichenko, V. Kuz'min, A. Artemenko, 2013 .

The effects of characteristics of substituents on toxicity of the nitroaromatics: HiT QSAR study

Jerzy Leszczynski, Leonid Gorb, Victor Kuzmin, 2008, J. Comput. Aided Mol. Des..

Identification of individual structural fragments of N,N'-(bis-5-nitropyrimidyl)dispirotripiperazine derivatives for cytotoxicity and antiherpetic activity allows the prediction of new highly active compounds.

P Wutzler, V. Makarov, O. Riabova, 2007, The Journal of antimicrobial chemotherapy.

Consensus QSAR Modeling of Phosphor‐Containing Chiral AChE Inhibitors

Jerzy Leszczynski, Leonid Gorb, Anatoly G. Artemenko, 2009 .

Interpretation of QSAR Models Based on Random Forest Methods

Anatoly G Artemenko, Victor E Kuz'min, Pavel G Polishchuk, 2011, Molecular informatics.

Analysis and Prediction of the Reproductive Toxicity of Organic Compounds of Different Classes using 2D Simplex Representations of Molecular Structure

V. Kuz'min, A. Artemenko, E. Muratov, 2013, Pharmaceutical Chemistry Journal.

Existing and Developing Approaches for QSAR Analysis of Mixtures

Eugene N Muratov, Anatoly G Artemenko, Ekaterina V Varlamova, 2012, Molecular informatics.

Per aspera ad astra: application of Simplex QSAR approach in antiviral research.

Eugene N Muratov, Pavel G. Polischuk, Michaela Schmidtke, 2010, Future medicinal chemistry.

Virtual Screening and Molecular Design Based on Hierarchical Qsar Technology

Anatoly G. Artemenko, Eugene N. Muratov, Victor E. Kuz’min, 2009, Recent Advances in QSAR Studies.

Benzimidazole with Broad Spectrum of Antiviral Action

E. Muratov, V. Kuz'min, A. Artemenko, 2007 .

Investigation of anticancer activity of macrocyclic Schiff bases by means of 4D-QSAR based on simplex representation of molecular structure

E. Muratov, V. Kuz'min, A. Artemenko, 2005, SAR and QSAR in environmental research.

Deterioration of bonding capacity of plasma-treated polymer fiber reinforcement

J. Fládr, P. Tesárek, V. Nežerka, 2018 .

Application of Random Forest Approach to QSAR Prediction of Aquatic Toxicity

Victor Kuzmin, Pavel G. Polishchuk, Anatoly G. Artemenko, 2009, J. Chem. Inf. Model..

Universal Approach for Structural Interpretation of QSAR/QSPR Models

Eugene N Muratov, Anatoly G Artemenko, Victor E Kuz'min, 2013, Molecular informatics.

Hierarchical QSAR technology based on the Simplex representation of molecular structure

Victor Kuzmin, Anatoly G. Artemenko, Eugene N. Muratov, 2008, J. Comput. Aided Mol. Des..

Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set

Igor V. Tetko, Artem Cherkasov, Klaus-Robert Müller, 2010, J. Chem. Inf. Model..

Structural, Physicochemical and Stereochemical Interpretation of QSAR Models Based on Simplex Representation of Molecular Structure

P. Polishchuk, E. Mokshyna, A. Kosinskaya, 2017 .

Reference XPS spectra of amino acids

A. Kromka, A. Shchukarev, T. Wågberg, 2021 .

New QSPR equations for prediction of aqueous solubility for military compounds.

Jerzy Leszczynski, Leonid Gorb, Frances Hill, 2010, Chemosphere.

Application of Random Forest and Multiple Linear Regression Techniques to QSPR Prediction of an Aqueous Solubility for Military Compounds

Leonid Gorb, Frances Hill, V. Kuz'min, 2010, Molecular informatics.

Synthesis and selectivity of 1-methoxycarbonylmethyl-3-arylamino-7-bromo-5-phenyl-1,2-dihydro-3H-1,4-benzodi- azepin-2-ones binding for CNS benzodiazepine receptors

V. Kuz'min, A. Artemenko, S. Makan, 2009 .

Application of quantum chemical approximations to environmental problems: prediction of water solubility for nitro compounds.

Jerzy Leszczynski, Eugene N Muratov, Anatoly G Artemenko, 2009, Environmental science & technology.

The effect of nitroaromatics' composition on their toxicity in vivo: novel, efficient non-additive 1D QSAR analysis.

J. Leszczynski, V. Kuz'min, A. Artemenko, 2008, Chemosphere.

QSAR analysis of [(biphenyloxy)propyl]isoxazoles: agents against coxsackievirus B3.

Michaela Schmidtke, Peter Wutzler, E. Muratov, 2011, Future medicinal chemistry.

Simplex representation of molecular structure as universal QSAR/QSPR tool

E. Muratov, V. Kuz'min, A. Artemenko, 2021, Structural Chemistry.

Novel enhanced applications of QSPR models: Temperature dependence of aqueous solubility

Jerzy Leszczynski, Edward J. Perkins, Leonid Gorb, 2016, J. Comput. Chem..

Artificial ribonucleases: Quantitative analysis of the structure-activity relationship and a new insight into the strategy of design of highly efficient RNase mimetics

E. Muratov, V. Silnikov, V. Kuz'min, 2008, Russian Journal of Bioorganic Chemistry.

The analysis of structure-anticancer and antiviral activity relationships for macrocyclic pyridinophanes and their analogues on the basis of 4D QSAR models (simplex representation of molecular structure).

Eugene N Muratov, Anatoly G Artemenko, Victor P Lozitsky, 2002, Acta biochimica Polonica.

Influence of the structure of substituted benzodiazepines on their pharmacokinetic properties

E. Muratov, V. Kuz'min, A. Artemenko, 2009, Pharmaceutical Chemistry Journal.

QSPR Prediction of Lipophilicity for Organic Compounds Using Random Forest Technique on the Basis of Simplex Representation of Molecular Structure

L. N. Ognichenko, J. Leszczynski, V. Kuz'min, 2012, Molecular informatics.

4-(Isoindolin-5-yl)amino-4-oxobutyryl-β-alkoxyphenyl-β-alanines, new RGDF mimetics. Synthesis, affinity to fibrinogen receptors, antiaggregatory properties, and their correlation with the hydrophobicity

A. Artemenko, S. Andronati, T. A. Kabanova, 2006 .

Lattice models for QSAR investigations

V. Kuz'min, A. Artemenko, N. A. Kovdienko, 1999, Pharmaceutical Chemistry Journal.

A New Algorithm for Spatial Learning of Artificial Neural Networks Based on Lattice Models of Chemical Structures for QSAR Analysis

I. Tetko, A. Luik, V. Kuz'min, 2001, Pharmaceutical Chemistry Journal.

The Hierarchic Informational Technology for QSAR Investigations: Molecular Design of Antiviral Compounds

Eugene N. Muratov, Victor E. Kuz’min, Pavel G. Polischuk, 2008 .